Qi Ang

Qi Ang is a Postdoctoral Researcher in the Department of Economics, focusing on interdisciplinary research at the intersection of IoT, machine learning, and cybersecurity. Their work emphasizes practical applications such as smart irrigation, flood prediction systems, and secure wireless communication protocols. Key contributions include enhancing IoT device authentication, developing AI-driven environmental monitoring frameworks, and advancing physical layer security techniques.

Research interests span IoT infrastructure, machine learning for environmental data analysis, wireless sensor networks, and cybersecurity solutions for constrained environments. Recent efforts include designing lightweight security protocols for IoT devices and integrating local sensor data with third-party forecasts for precision agriculture and disaster management.

Publications highlight trends in sensor network modeling, anomaly detection, and energy-efficient routing. Notable projects include a smart sewage management system and a flooding alert system for municipal use. Qi Ang has also contributed to educational methodologies, as seen in their work on thesis quality assurance in academic settings.